Opportunistic Screening of Liver and Kidney Disease with Computer Vision in a High Cardiovascular Risk Population
Description: This project will use artificial intelligence to analyze standard heart ultrasounds for signs of kidney and liver disease that cardiologists typically miss. The team will implement and test their AI system across four healthcare systems to determine its accuracy, develop optimal notification strategies, and measure impacts on patient care. By enabling early detection of conditions that have new available treatments, this approach aims to improve timely intervention and patient outcomes without requiring additional testing.
Funder: American Heart Association
Amount: $5,000,000
Funding type: research
Funder scheme: AHA Artificial Intelligence
Start date: 2025-07-01
End date: 2026-12-31
Investigators: David Ouyang, David Ouyang
Institution: Kaiser Foundation Research Institute, a Division of Kaiser Foundation Hospitals
Funded outputs count: 1
Funder award ID: 25AHAAI1487693
OpenAlex ID: G770149338